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X Demographics
Mendeley readers
Attention Score in Context
Title |
Detection of cryptogenic malignancies from metagenomic whole genome sequencing of body fluids
|
---|---|
Published in |
Genome Medicine, June 2021
|
DOI | 10.1186/s13073-021-00912-z |
Pubmed ID | |
Authors |
Wei Gu, Eric Talevich, Elaine Hsu, Zhongxia Qi, Anatoly Urisman, Scot Federman, Allan Gopez, Shaun Arevalo, Marc Gottschall, Linda Liao, Jack Tung, Lei Chen, Harumi Lim, Chandler Ho, Maya Kasowski, Jean Oak, Brittany J. Holmes, Iwei Yeh, Jingwei Yu, Linlin Wang, Steve Miller, Joseph L. DeRisi, Sonam Prakash, Jeff Simko, Charles Y. Chiu |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 36% |
United Kingdom | 1 | 7% |
Unknown | 8 | 57% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 8 | 57% |
Scientists | 4 | 29% |
Practitioners (doctors, other healthcare professionals) | 2 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 8% |
Researcher | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Other | 1 | 4% |
Lecturer > Senior Lecturer | 1 | 4% |
Other | 3 | 13% |
Unknown | 13 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 5 | 21% |
Agricultural and Biological Sciences | 2 | 8% |
Veterinary Science and Veterinary Medicine | 1 | 4% |
Nursing and Health Professions | 1 | 4% |
Immunology and Microbiology | 1 | 4% |
Other | 0 | 0% |
Unknown | 14 | 58% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 10 June 2021.
All research outputs
#4,116,492
of 25,389,532 outputs
Outputs from Genome Medicine
#819
of 1,584 outputs
Outputs of similar age
#91,748
of 415,679 outputs
Outputs of similar age from Genome Medicine
#37
of 56 outputs
Altmetric has tracked 25,389,532 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,584 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one is in the 48th percentile – i.e., 48% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 415,679 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 85% of its contemporaries.
We're also able to compare this research output to 56 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.